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Compare DNA/RNA/protein sequences on k-mer content .
Introduction
The pipeline is built using Nextflow , a workflow tool to run tasks across multiple compute infrastructures in a very portable manner. It comes with docker containers making installation trivial and results highly reproducible.
Quick Start
i. Install
nextflow
ii. Install either
Docker
or
Singularity
for full pipeline reproducibility (please only use
Conda
as a last resort; see
docs
)
iii. Download the pipeline and test it on a minimal dataset with a single command
nextflow run nf-core/kmermaid -profile test,<docker/singularity/conda/institute>
Please check nf-core/configs to see if a custom config file to run nf-core pipelines already exists for your Institute. If so, you can simply use
-profile <institute>
in your command. This will enable eitherdocker
orsingularity
and set the appropriate execution settings for your local compute environment.
iv. Start running your own analysis!
nextflow run nf-core/kmermaid -profile <docker/singularity/conda/institute> --input '*_R{1,2}.fastq.gz' --genome GRCh37
See usage docs for all of the available options when running the pipeline.
Documentation
The nf-core/kmermaid pipeline comes with documentation about the pipeline, found in the
docs/
directory:
-
Pipeline configuration
Usage
With a samples.csv file
nextflow run nf-core/kmermaid --outdir s3://bucket/sub-bucket --samples samples.csv
With R1, R2 read pairs
nextflow run nf-core/kmermaid --outdir s3://olgabot-maca/nf-kmer-similarity/ \
--read_pairs 's3://bucket/sub-bucket/*{R1,R2}*.fastq.gz,s3://bucket/sub-bucket2/*{1,2}.fastq.gz'
With SRA ids
nextflow run nf-core/kmermaid --outdir s3://bucket/sub-bucket --sra SRP016501
With fasta files
nextflow run nf-core/kmermaid --outdir s3://bucket/sub-bucket \
--fastas '*.fasta'
With bam file
nextflow run nf-core/kmermaid --outdir s3://bucket/sub-bucket \
--bam 'possorted_genome_bam.bam'
With split kmer
nextflow run nf-core/kmermaid --outdir s3://bucket/sub-bucket --samples samples.csv --split_kmer --subsample 1000
Credits
nf-core/kmermaid was originally written by Olga Botvinnik.
Contributions and Support
If you would like to contribute to this pipeline, please see the contributing guidelines .
For further information or help, don't hesitate to get in touch on Slack (you can join with this invite ).
Citation
If you use nf-core/kmermaid for your analysis, please cite it using the following doi: 10.5281/zenodo.4143940
You can cite the
nf-core
publication as follows:
The nf-core framework for community-curated bioinformatics pipelines.
Philip Ewels, Alexander Peltzer, Sven Fillinger, Harshil Patel, Johannes Alneberg, Andreas Wilm, Maxime Ulysse Garcia, Paolo Di Tommaso & Sven Nahnsen.
Nat Biotechnol. 2020 Feb 13. doi: 10.1038/s41587-020-0439-x .
ReadCube: Full Access Link
Code Snippets
325 326 327 328 329 330 | """ echo $workflow.manifest.version > v_pipeline.txt echo $workflow.nextflow.version > v_nextflow.txt sourmash info &> v_sourmash.txt scrape_software_versions.py &> software_versions_mqc.yaml """ |
373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 | """ sourmash compute \\ --ksize $ksize \\ --$molecule \\ $not_dna \\ --num-hashes \$((2**$log2_sketch_size)) \\ $processes \\ $min_umi_per_barcode \\ $line_count \\ $rename_10x_barcodes \\ $barcodes_file \\ $save_fastas \\ $metadata \\ --output ${sample_id}_${sketch_id}.sig \\ --input-is-10x $bam find . -type f -name "*.fasta" | while read src; do if [[ \$src == *"|"* ]]; then mv "\$src" \$(echo "\$src" | tr "|" "_"); fi done """ |
419 420 421 422 423 424 425 426 427 | """ sourmash compute \\ --num-hashes \$((2**$log2_sketch_size)) \\ --ksizes $ksize \\ --$molecule \\ $not_dna \\ --output ${sample_id}_${sketch_id}.sig \\ $reads """ |
430 431 432 433 434 435 436 437 438 439 | """ sourmash compute \\ --num-hashes \$((2**$log2_sketch_size)) \\ --ksizes $ksize \\ --$molecule \\ $not_dna \\ --output ${sample_id}_${sketch_id}.sig \\ --merge '$sample_id' \\ $reads """ |
462 463 464 465 466 467 468 469 | """ sourmash compare \\ --ksize ${ksize[0]} \\ --${molecule[0]} \\ $processes \\ --csv similarities_${sketch_id}.csv \\ --traverse-directory . """ |
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